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Filtered-x Least Mean Squares (FxLMS) Active Noise Control×Beamforming×
VakgebiedAkoestiekAkoestiek
FamilieProcess / pipelineProcess / pipeline
Jaar van ontstaan19751988
GrondleggerBernard Widrow, Samuel StearnsVan Veen, Barry Buckley
TypeAdaptive noise cancellation algorithmDirectional audio array processing
Oorspronkelijke bronWidrow, B., & Stearns, S. D. (1975). Adaptive signal processing for active vibration and noise control. IEEE Transactions on Acoustics, Speech, and Signal Processing, 23(5), 440–453. DOI ↗Van Veen, B. D., & Buckley, K. M. (1988). Beamforming: A versatile approach to spatial filtering. IEEE ASSP Magazine, 5(2), 4–24. DOI ↗
AliassenFxLMS, filtered-x LMS, active noise cancellation, ANCbeamformer, spatial filtering, microphone array, phased array
Verwant55
SamenvattingThe Filtered-x Least Mean Squares (FxLMS) algorithm is an adaptive filter used in active noise control (ANC) systems to reduce unwanted sound by generating anti-noise. Pioneered by Widrow and Stearns in 1975 and refined by Eriksson and colleagues, FxLMS is the most widely deployed algorithm in commercial noise-canceling headphones, hearing aids, automotive cabins, and industrial noise barriers. It works by continuously learning the acoustical path and dynamically adjusting a canceling signal in real time.Beamforming is a spatial signal processing technique that uses microphone arrays to selectively enhance sound from a desired direction while suppressing sounds from other directions. Formalized by Van Veen and Buckley in 1988, beamforming is fundamental to hands-free speech communication, hearing aids, sonar, radar, and spatial audio recording. It enables 'listening' with directional sensitivity despite using omnidirectional microphones, by exploiting time delays and phase differences between array elements.
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ScholarGateMethoden vergelijken: FxLMS Active Noise Control · Beamforming. Geraadpleegd op 2026-06-18 via https://scholargate.app/nl/compare